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This is the development version of doppelgangR; for the stable release version, see doppelgangR.

Identify likely duplicate samples from genomic or meta-data

Bioconductor version: Development (3.19)

The main function is doppelgangR(), which takes as minimal input a list of ExpressionSet object, and searches all list pairs for duplicated samples. The search is based on the genomic data (exprs(eset)), phenotype/clinical data (pData(eset)), and "smoking guns" - supposedly unique identifiers found in pData(eset).

Author: Levi Waldron [aut, cre], Markus Reister [aut, ctb], Marcel Ramos [ctb]

Maintainer: Levi Waldron <lwaldron.research at gmail.com>

Citation (from within R, enter citation("doppelgangR")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

doppelgangR vignette HTML R Script
Reference Manual PDF


biocViews GeneExpression, ImmunoOncology, Microarray, QualityControl, RNASeq, Software
Version 1.31.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License GPL (>=2.0)
Depends R (>= 3.5.0), Biobase, BiocParallel
Imports sva, impute, digest, mnormt, methods, grDevices, graphics, stats, SummarizedExperiment, utils
System Requirements
URL https://github.com/lwaldron/doppelgangR
Bug Reports https://github.com/lwaldron/doppelgangR/issues
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Suggests BiocStyle, knitr, rmarkdown, curatedOvarianData, testthat
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Follow Installation instructions to use this package in your R session.

Source Package doppelgangR_1.31.0.tar.gz
Windows Binary doppelgangR_1.31.0.zip
macOS Binary (x86_64) doppelgangR_1.31.0.tgz
macOS Binary (arm64) doppelgangR_1.31.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/doppelgangR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/doppelgangR
Bioc Package Browser https://code.bioconductor.org/browse/doppelgangR/
Package Short Url https://bioconductor.org/packages/doppelgangR/
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